Does NGD converge to minima that are 'more complex' i.e. have a higher RLCT?

{'batch_size': 128, 'cut_off_epochs': 20, 'dataset': 'mnist', 'hessian': True, 'hidden_conv_layers': [1, 2, 3], 'hidden_layers': [2, 2, 2], 'hidden_nodes': [128, 256, 512], 'localization': 100.0, 'model_type': 'dnn', 'momentum': 0.9, 'nesterov': True, 'ngd_lr': 0.01, 'num_chains': 1, 'num_draws': 1000, 'num_epochs': 20, 'num_workers': 6, 'optimizer': 'both', 'sampler': 'sgld', 'sampler_lr': 0.0001, 'sgd_lr': 0.01}